code: def on_forward_end(self, outputs):
      outputs = list(outputs.values())
      if self.output_tensors:
          outputs = self.numpy_to_tensors(outputs)
      elif len(outputs) == 1:
          outputs = outputs[0]
      if self.output_metadata is not None:
          outputs = MetaData.reconstruct_output(
              outputs, self.output_metadata
          )
      return outputs
  
imports: from pathlib import Path
  from tempfile import TemporaryDirectory
  from typing import List, Union
  from .dataloader import PytorchOpenVINODataLoader
  from .metric import PytorchOpenVINOMetric
  from ..core.model import OpenVINOModel
  from bigdl.nano.pytorch.model import AcceleratedLightningModule
  from .utils import export
  import torch
  from bigdl.nano.utils.common import invalidInputError
  from ..core.utils import save
  from torch.utils.data.dataloader import DataLoader
  from bigdl.nano.pytorch.context_manager import generate_context_manager, BaseContextManager
  from bigdl.nano.utils.pytorch import get_input_example, get_forward_args, patch_attrs_from_model_to_object, MetaData
  from bigdl.nano.utils.common import SafePickle
label_desc: Use image node_id 5 for calling the PytorchOpenVINOModel obj's underlying member method code with example usage: obj.on_forward_end(outputs) and returns: outputs